10IS766 Fuzzy Logic syllabus for IS


Part A
Unit-1 Introduction, Classical Sets and Fuzzy Sets 7 hours

Background, Uncertainty andImprecision, Statistics and Random Processes, Uncertainty in Information,Fuzzy Sets and Membership, Chance versus Ambiguity.Classical Sets - Operations on Classical Sets, Properties of Classical (Crisp)Sets, Mapping of Classical Sets to FunctionsFuzzy Sets - Fuzzy Set operations, Properties of Fuzzy Sets. Sets as Points inHypercubes

Unit-2 Classical Relations and Fuzzy Relations 6 hours

Cartesian Product, Crisp Relations- Cardinality of Crisp Relations, Operations on Crisp Relations, Properties ofCrisp Relations, Composition. Fuzzy Relations - Cardinality of FuzzyRelations, Operations on Fuzzy Relations, Properties of Fuzzy Relations,Fuzzy Cartesian Product and Composition, Non-interactive Fuzzy Sets.Tolerance and Equivalence Relations - Crisp Equivalence Relation, CrispTolerance Relation, Fuzzy Tolerance and Equivalence Relations. ValueAssignments - Cosine Amplitude, Max-min Method, Other Similaritymethods

Unit-3 Membership Functions 6 hours

Features of the Membership Function, StandardForms and Boundaries, Fuzzification, Membership Value Assignments –Intuition, Inference, Rank Ordering, Angular Fuzzy Sets, Neural Networks,Genetic Algorithms, Inductive Reasoning.

Unit-4 Fuzzy-to-Crisp Conversions, Fuzzy Arithmetic 7 hours

Lambda-Cuts for FuzzySets, Lambda-Cuts for Fuzzy Relations, Defuzzification MethodsExtension Principle - Crisp Functions, Mapping and Relations, Functions offuzzy Sets – Extension Principle, Fuzzy Transform (Mapping), PracticalConsiderations, Fuzzy NumbersInterval Analysis in Arithmetic, Approximate Methods of Extension - Vertexmethod, DSW Algorithm, Restricted DSW Algorithm, Comparisons, FuzzyVectors

Part B
Unit-5 Classical Logic and Fuzzy Logic 6 hours

Classical Predicate Logic – Tautologies,Contradictions, Equivalence, Exclusive OR and Exclusive NOR, LogicalProofs, Deductive Inferences. Fuzzy Logic, Approximate Reasoning, FuzzyTautologies, Contradictions, Equivalence and Logical Proofs, Other forms ofthe Implication Operation, Other forms of the Composition Operation

Unit-6 Fuzzy Rule- Based Systems 6 hours

Natural Language, Linguistic Hedges, Rule-Based Systems - Canonical Rule Forms, Decomposition of Compound Rules,Likelihood and Truth Qualification, Aggregation of Fuzzy Rules, GraphicalTechniques of Inference

Unit-7 Fuzzy Decision Making 7 hours

Fuzzy Synthetic Evaluation, Fuzzy Ordering,Preference and consensus, Multiobjective Decision Making, Fuzzy BayesianDecision Method, Decision Making under Fuzzy States and Fuzzy Actions.

Unit-8 Fuzzy Classification 7 hours

Classification by Equivalence Relations - CrispRelations, Fuzzy Relations. Cluster Analysis, Cluster Validity, c-MeansClustering - Hard c-Means (HCM), Fuzzy c-Means (FCM). ClassificationMetric, Hardening the Fuzzy c-Partition, Similarity Relations from Clustering

Last Updated: Tuesday, January 24, 2023